class_docstr: Picks argmax(mean(env_out_acc for env in train_envs))
class_docstr_tok: ["Picks","argmax","(","mean","(","env_out_acc","for","env","in","train_envs",")",")"]
code: def run_acc(self, run_records):
      test_records = get_test_records(run_records)
      if not len(test_records):
          return None
      return test_records.map(self._step_acc).argmax("val_acc")
  
file_path: generalized-moe/domainbed/model_selection.py
imports: import itertools
  import numpy
label_desc: Use image node_id 2 for calling the IIDAccuracySelectionMethod obj's underlying member method code with example usage: obj.run_acc(run_records) and returns: test_records, None